activity
20242026
collaborators

6 papers

math.OC2026

Out-of-the-Box Global Optimization for Packing Problems: New Models and Improved Solutions

Timo Berthold, Dominik Kamp, Gioni Mexi +2

Recent LLM-driven discoveries have renewed interest in geometric packing problems. In this paper, we study several classes of such packing problems through the lens of modern globa…

math.OC2026

Global Optimization for Combinatorial Geometry Problems Revisited in the Era of LLMs

Timo Berthold, Dominik Kamp, Gioni Mexi +2

Recent progress in LLM-driven algorithm discovery, exemplified by DeepMind's AlphaEvolve, has produced new best-known solutions for a range of hard geometric and combinatorial prob…

math.OC2025

The SCIP Optimization Suite 10.0

Christopher Hojny, Mathieu Besançon, Ksenia Bestuzheva +31

The SCIP Optimization Suite provides a collection of software packages for mathematical optimization, centered around the constraint integer programming (CIP) framework SCIP. This…

math.OC2025

MIP-DD: A Delta Debugger for Mixed Integer Programming Solvers

Alexander Hoen, Dominik Kamp, Ambros Gleixner

The recent performance improvements in mixed-integer programming (MIP) have been accompanied by a significantly increased complexity of the codes of MIP solvers, which poses challe…

math.OC2025

State-of-the-art Methods for Pseudo-Boolean Solving with SCIP

Gioni Mexi, Dominik Kamp, Yuji Shinano +8

The Pseudo-Boolean problem deals with linear or polynomial constraints with integer coefficients over Boolean variables. The objective lies in optimizing a linear objective functio…

math.OC2024

The SCIP Optimization Suite 9.0

Suresh Bolusani, Mathieu Besançon, Ksenia Bestuzheva +28

The SCIP Optimization Suite provides a collection of software packages for mathematical optimization, centered around the constraint integer programming (CIP) framework SCIP. This…